Overexpression of AtYUCCA6 in soybean crop results in reduced ROS production and increased drought tolerance View Full Text


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Article Info

DATE

2019-03-19

AUTHORS

Jin Sol Park, Hye Jeong Kim, Hyun Suk Cho, Ho Won Jung, Joon-Young Cha, Dae-Jin Yun, Seon-Woo Oh, Young-Soo Chung

ABSTRACT

Drought is a major abiotic stress in crop yield and its inevitable consequence is the increased production of reactive oxygen species (ROS) and cell damage. To reduce excessive ROS accumulation in soybean, AtYUCCA6 gene was transformed via Agrobacterium-mediated transformation. About 3% of transformation efficiency was generated from five batches of the transformation experiment. Eighteen transgenic plants were produced with PPT resistance and analyzed for introgression of AtYUCCA6. T-DNA insertion and expression were confirmed by PCR, Southern blot and reverse transcriptase-PCR. In the drought tolerance tests with transgenic lines #2, #3, and #5, all three lines were less affected by drought treatment and survived in the water-deficit conditions while non-transgenic plants did not survive under the same drought condition. The physiological aspects of transgenic lines were also much stronger than NT plants by showing higher chlorophyll content and lower ion leakage during water-deficit conditions (p < 0.01), indicating the prevention of cell-membrane damage. Measurement of transpiration rate on detached leaves from transgenic plants showed nearly 10% less water loss. Finally, 3 transgenic lines (#2, #3, and #5) were investigated for ROS accumulation by DAB staining of detached leaves under water-deficit conditions. Unlikely NT plants with severe dark browning after 14 days of drought treatment, transgenic lines #2, #3, and #5 did not show significant browning. More... »

PAGES

1-8

References to SciGraph publications

  • 2008-06. Biological functions of antioxidants in plant transformation in IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY - PLANT
  • 1999-01. The use of glufosinate as a selective agent in Agrobacterium-mediated transformation of soybean in PLANT CELL, TISSUE AND ORGAN CULTURE (PCTOC)
  • 1988-08. Production of Transgenic Soybean Plants Using Agrobacterium-Mediated DNA Transfer in NATURE BIOTECHNOLOGY
  • 2013-10. Characterization of SMV resistance of soybean produced by genetic transformation of SMV-CP gene in RNAi in PLANT BIOTECHNOLOGY REPORTS
  • 2006-03. Improved cotyledonary node method using an alternative explant derived from mature seed for efficient Agrobacterium-mediated soybean transformation in PLANT CELL REPORTS
  • 1996-06. Production of transgenic soybean lines expressing the bean pod mottle virus coat protein precursor gene in PLANT CELL REPORTS
  • 2016-09. RNAi-mediated Soybean mosaic virus (SMV) resistance of a Korean Soybean cultivar in PLANT BIOTECHNOLOGY REPORTS
  • 2001-12. L-Cysteine increases Agrobacterium-mediated T-DNA delivery into soybean cotyledonary-node cells in PLANT CELL REPORTS
  • 2010-10. Auxin signaling participates in the adaptative response against oxidative stress and salinity by interacting with redox metabolism in Arabidopsis in PLANT MOLECULAR BIOLOGY
  • 2003-03. Efficient soybean transformation using hygromycin B selection in the cotyledonary-node method in PLANTA
  • 2010-10. Functional analyses of ethylene response factor JERF3 with the aim of improving tolerance to drought and osmotic stress in transgenic rice in TRANSGENIC RESEARCH
  • 2015-12. A novel thiol-reductase activity of Arabidopsis YUC6 confers drought tolerance independently of auxin biosynthesis in NATURE COMMUNICATIONS
  • 2009-06. Recent advances and emerging trends in plant hormone signalling in NATURE
  • 2008-11. Effect of salt stress on antioxidant defense systems, lipid peroxidation, and chlorophyll content in green bean in RUSSIAN JOURNAL OF PLANT PHYSIOLOGY
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    URI

    http://scigraph.springernature.com/pub.10.1007/s11816-019-00527-2

    DOI

    http://dx.doi.org/10.1007/s11816-019-00527-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112873515


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    RDF/XML is a standard XML format for linked data.

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